Wildberries Analytics MCP server
Wildberries Analytics MCP
A Wildberries seller-analytics MCP server: sales funnel, search reports, warehouse stock and CSV exports
- 1 ★ on the repository
- Last commit
- MIT
Extended access
Why this level
- Runs a local server that reads Wildberries funnel, search and stock data with a seller token
- Does not change prices, bids or orders
dias-zhanabayev/wildberries_mcp
A similar tool with a larger community: Wildberries MCP, 16 ★ on the repository
Install
- Works in
- Services
In your terminal, with SkillFoxx CLI
npx skillfoxx add mcp/wildberries-analytics-mcpDetects the agents on your machine, shows the access level and pins the version.
Other ways to install
Access and checks
How we reviewExtended accessThe tool runs code or makes network calls and only reads external data.
- Runs a local server that reads Wildberries funnel, search and stock data with a seller token
- Does not change prices, bids or orders
This is third-party code. Review the repository files before installing.
What it does
The server connects Wildberries analytics reports to Claude Desktop and Cursor. Tools are split into four groups: a sales funnel by product card over a period or by day, search reports with SERP position and top queries per product, stock by product, size and warehouse, and CSV report creation with status checks and a ZIP download available for 48 hours. All tools are read-only; the underlying Wildberries API itself is capped at three requests per minute. The server installs via uv and runs locally with uv run main.py or in Docker.
Who it is for. For Wildberries sellers and analysts who want sales and search analytics in a conversational form.
Good fit when
- You want to compare the sales funnel across periods or products
- You need a product's search position and the top queries driving orders
- You need stock by warehouse and size without opening the seller dashboard
Not a fit when
- You need to operate on prices, supplies or ad bids: the server does not offer that
- The Wildberries API's three-requests-per-minute cap does not fit your workload
Example request
Compare this month's sales funnel with last month and show the top 20 queries for product 123456MCP
- Transport
- stdio
- Authentication
- API key
Environment variables
WILDBERRIES_TOKENrequired, secret- A seller token from the WB dashboard, API access section
Limitations
You need a Wildberries seller token with analytics access. It requires Python 3.12 and the uv package manager. The Wildberries API caps analytics requests at three per minute, so reports for many products build up slowly. The project has no PyPI release, only a source install.
How to disable. Remove the wildberries entry from your MCP client configuration and stop the process or container.
FAQ
Can the server change prices or bids?
No, every tool only reads analytics, the funnel, search data and stock.
How long until a CSV report downloads?
The report is built as a job, its status is checked with a separate tool, and the finished ZIP is downloadable for 48 hours.
Discussion
No questions or reviews yet.
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README in short
The README gives a three-step quick start, Python 3.12 and uv requirements, config examples for Cursor and Claude Desktop with and without Docker, plain-language example requests, and a reference of every tool across four groups noting the three-requests-per-minute API cap.